R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(16.3,16.37,16.38,16.37,16.42,16.43,16.44,16.53,16.55,16.56,16.6,16.61,16.62,16.64,16.61,16.74,16.87,16.89,16.89,16.99,17.06,17.1,17.11,17.17,17.17,17.21,17.37,17.43,17.44,17.46,17.42,17.47,17.45,17.44,17.46,17.47,17.47,17.56,17.61,17.61,17.6,17.57,17.59,17.59,17.68,17.73,17.75,17.75,17.75,17.85,18.06,18.05,18.16,18.2,18.21,18.33,18.36,18.37,18.4,18.47,18.49,18.5,18.53,18.56,18.6,18.61,18.62,18.61,18.65,18.77,18.78,18.78,18.8,18.85,18.85,18.98,19.06,19.08,19.19,19.21,19.29,19.3,19.36,19.36)
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Mean versus Median (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanversusmedian.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> library(Hmisc)
Loading required package: survival
Loading required package: splines
Hmisc library by Frank E Harrell Jr

Type library(help='Hmisc'), ?Overview, or ?Hmisc.Overview')
to see overall documentation.

NOTE:Hmisc no longer redefines [.factor to drop unused levels when
subsetting.  To get the old behavior of Hmisc type dropUnusedLevels().


Attaching package: 'Hmisc'

The following object is masked from 'package:survival':

    untangle.specials

The following objects are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

> m <- mean(x)
> e <- median(x)
> postscript(file="/var/fisher/rcomp/tmp/18f4g1381342553.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow=c(2,1))
> mydensity1 <- density(x,kernel='gaussian',na.rm=TRUE)
> plot(mydensity1,main='Density Plot - Gaussian Kernel',xlab='Median (0 -> full line) | Mean (0 -> dashed line)',ylab='density')
> abline(v=e,lty=1)
> abline(v=m,lty=5)
> grid()
> myseq <- seq(0.01, 0.99, 0.01)
> hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
> plot(myseq,hd,col=2,main='Harrell-Davis Quantiles',xlab='quantiles',ylab='Median (0 -> full) | Mean (0 -> dashed)')
> abline(h=m,lty=5)
> abline(h=e,lty=1)
> grid()
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Median versus Mean',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,mean(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> a<-table.element(a,median(x))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2p20a1381342553.tab") 
> 
> try(system("convert tmp/18f4g1381342553.ps tmp/18f4g1381342553.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.124   0.123   1.229